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Journal Issue
Volume 7 Issue 2 / Jun 2009  pp85‑190

Editor: Shirley Williams

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Mobile City and Language Guides — New Links Between Formal and Informal Learning Environments  pp85‑92

Mads Bo-Kristensen, Niels Ole Ankerstjerne, Chresteria Neutzsky-Wulff, Herluf Schelde

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Some Factors to Consider When Designing Semi‑Autonomous Learning Environments  pp93‑100

Paul Bouchard

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Game Inspired Tool Support for e‑Learning Processes  pp101‑110

Marie-Thérèse Charles, David Bustard, Michaela Black

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Web 2.0‑Mediated Competence — Implicit Educational Demands on Learners  pp111‑118

Nina Bonderup Dohn

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Listening to the Learners' Voices in HE: how do Students Reflect on their use of Technology for Learning?  pp119‑126

Amanda Jefferies, Ruth Hyde

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Learning Objects and Virtual Learning Environments Technical Evaluation Criteria  pp127‑136

Eugenijus Kurilovas, Valentina Dagiene

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The Enhancement of Reusability of Course Content and Scenarios in Unified e‑Learning Environment for Schools  pp137‑146

Virginija Limanauskiene, Vytautas Stuikys

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Strategies for Embedding e‑Learning in Traditional Universities: Drivers and Barriers  pp147‑154

Kay MacKeogh, Seamus Fox

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The Identification of Key Issues in the Development of Sustainable e‑Learning and Virtual Campus Initiatives  pp155‑164

Mark Stansfield, Thomas Connolly, Antonio Cartelli, Athanassios Jimoyiannis, Hugo Magalhães, Katherine Maillet

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Adoption of Web 2.0 Technologies in Education for Health Professionals in the UK: Where are we and why?  pp165‑172

Rod Ward, Pam Moule, Lesley Lockyer

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How Reproducible Research Leads to Non‑Rote Learning Within Socially Constructivist Statistics Education  pp173‑182

Patrick Wessa

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Abstract

This paper discusses the implementation of a new e‑learning environment that supports non‑rote learning of exploratory and inductive statistics within the pedagogical paradigm of social constructivism. The e‑ learning system is based on a new computational framework that allows us to create an electronic research environment where students are empowered to interact with reproducible computations from peers and the educator. The underlying technology effectively supports social interaction (communication), knowledge construction, collaboration, and scientific experimentation even if the student population is very large. In addition, the system allows us to measure important aspects of the actual learning process which are otherwise unobservable. With this new information it is possible to explore (and investigate) the effectiveness of e‑based learning, the impact of software usability, and the importance of knowledge construction through various feedback and communication mechanisms. Based on a preliminary empirical analysis from two courses (with large student populations) it is shown that there are strong relationships between actual constructivist learning activities and scores on objective examinations, in which the questions assess conceptual understanding. It is also explained that non‑rote learning is supported by the fact that the system allows users to reproduce results and reuse them in derived research that can be easily communicated. 

 

Keywords: statistics education, reproducible research, reproducible computing, social constructivism, non-rote learning

 

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The Implications of SCORM Conformance for Workplace e‑Learning  pp183‑190

Gabrielle Witthaus

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